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Current status and applications of genome-scale metabolic models

Overview of attention for article published in Genome Biology, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
57 X users

Citations

dimensions_citation
502 Dimensions

Readers on

mendeley
927 Mendeley
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Title
Current status and applications of genome-scale metabolic models
Published in
Genome Biology, June 2019
DOI 10.1186/s13059-019-1730-3
Pubmed ID
Authors

Changdai Gu, Gi Bae Kim, Won Jun Kim, Hyun Uk Kim, Sang Yup Lee

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 927 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 927 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 157 17%
Researcher 123 13%
Student > Master 111 12%
Student > Bachelor 99 11%
Student > Doctoral Student 37 4%
Other 105 11%
Unknown 295 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 236 25%
Agricultural and Biological Sciences 125 13%
Engineering 47 5%
Chemical Engineering 40 4%
Computer Science 32 3%
Other 112 12%
Unknown 335 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 August 2019.
All research outputs
#1,338,832
of 25,385,509 outputs
Outputs from Genome Biology
#1,046
of 4,470 outputs
Outputs of similar age
#29,283
of 368,316 outputs
Outputs of similar age from Genome Biology
#22
of 62 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 368,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.